Pitt’s Center for Pharmaceutical Policy and Prescribing recently announced two new collaborations that both aim to tackle some of the toughest questions to address patient risk and prescribing practices relating to opioids.
In one project, the center will work with Pennsylvania’s Department of Health to add advanced analytics to its Overdose Data to Action response. “Our goal in applying machine learning to opioid data has always been to find ways to use these new techniques in real-life situations to help make better decisions and better policies around the epidemic,” said Walid Gellad, center director and associate professor of medicine and health policy and management at Pitt. The project, through funding from the Centers for Disease Control and Prevention, will go through August 2022.
Another project is a continuation of funding from the Richard King Mellon Foundation to develop and implement machine learning risk prediction models to help improve opioid overdose prevention and treatment. The center recently received an additional two years of funding from the foundation to continue working with the Department of Human Services in Allegheny County. The goal is to implement this modeling tool in the county, after robust community discussion and ethical review, to help address the opioid epidemic.